Uncertainty analysis of phased mission systems with probabilistic timed automata

Abstract

A phased mission is one in which the requirements may alter over time. We present a novel approach to analyse phased mission systems using probabilistic timed automata (PTA). We show how to construct PTA models which allow one to reflect system uncertainty, and how to analyse these models using the PRISM probabilistic model checker. We illustrate our approach via a simple case study, namely path planning for a Mars exploration rover, since the mission of the rover can be expected to be an instance of phased mission systems.